Results 31 to 40 of about 363,612 (293)
Prediction Research of Water Demand Probability Interval in Liuzhou City Based on BP Neural Network
Renmin Zhujiang, 2021 Water demand prediction is of great importance for regional water resources planning.In this paper,BP neural network is primarily applied to predict the water demand of Liuzhou in 2020 and 2025,and then 100 groups of forecast results are selected for ...
ZHANG Zhibo
doaj
INTERVAL ESTIMATION OF THE VOLUMES OF RESOURCE CONSUMPTION AT THE STOCHASTIC BASIC DATA
Вестник университета, 2018 The method of interval estimation of resource consumption volumes is considered with the random nature of a multitude of random factors. The necessity of taking into account errors in the values of functions and arguments when estimating the parameters ...
Y. Gagarin, S. Gagarina
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IEEE Access, 2019 In the past few years, the Kriging model based on the adaptive design of experiments (DoE) has attracted extensive attention in analyzing the reliability of structures involving time-consuming simulations or complicated implicit performance function ...
Yibo Zhang +4 more
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A Novel Joint TDOA/FDOA Passive Localization Scheme Using Interval Intersection Algorithm
Information, 2021 Due to the large measurement error in the practical non-cooperative scene, the passive localization algorithms based on traditional numerical calculation using time difference of arrival (TDOA) and frequency difference of arrival (FDOA) often have no ...
Lingyu Ai +5 more
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Interval estimates and their precision
Journal of Physics: Conference Series, 2015 A task very often met in in practice is computation of confidence interval bounds for the relative frequency within sampling without replacement. A typical situation includes preelection estimates and similar tasks. In other words, we build the confidence interval for the parameter value M in the parent population of size N on the basis of a random ...
Luboš Marek, Michal Vrabec
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The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
Population Ecology, EarlyView.We examine historical population data for spruce budworm from several locations through the period 1930–1997, and use density‐dependent recruitment curves to test whether the pattern of population growth over time is more consistent with Royama's (1984; Ecological Monographs 54:429–462) linear R(t) model of harmonic oscillation at Green River New ...
Barry J. Cooke, Jacques Régnière
wiley +1 more source
Network topology drives population temporal variability in experimental habitat networks
Population Ecology, EarlyView.Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu +3 more
wiley +1 more source
Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2017 The article presents the results of the development of new methods aimed at more accurate interval estimate of the experimental values of voltages on grounding devices of substations and circuits in the control cables, that occur when lightning strikes ...
P. V. Kriksin
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occumb: An R package for site occupancy modeling of eDNA metabarcoding data
Population Ecology, EarlyView.This study introduces a new R package, occumb, for the convenient application of site occupancy modeling using environmental DNA (eDNA) metabarcoding data. We outline a data analysis workflow, including data setup, model fitting, model assessment, and comparison of potential study settings based on model predictions, all of which can be performed using
Keiichi Fukaya, Yuta Hasebe
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Estimating Reference Intervals [PDF]
American Journal of Clinical Pathology, 2010 As indicated in the thought-provoking article in this issue of the Journal by Katayev and colleagues,1 there are few things more important than the reference intervals we report along with our laboratory measurements. Unfortunately, we laboratory professionals give them far too little attention, adopting manufacturers’ recommended intervals, often ...
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